Company Overview:

Ikasi.ai is an innovative technology company specializing in artificial intelligence solutions. We are committed to building advanced AI technologies to solve real-world problems, streamline processes, and enhance the user experience in various industries.

Job Summary:

As a Senior DevOps Engineer, you’ll be integral in enhancing our infrastructure, ensuring high uptime, reliability, and security; you will:

Role Overview:

• Spearhead strategic initiatives for optimal uptime and reliability, particularly in cloud environments.
• Architect and optimize advanced monitoring and alerting systems.
• Enhance internal build systems and CI/CD processes.
• Implement automation tools and processes to accelerate developer velocity.
• Manage Kubernetes and Docker environments.
• Conduct SOC2 audits for compliance.
• Set up automated security scans.

Minimum Qualifications:

• Expertise in Kubernetes, Docker, and cloud platforms (GCP/AWS)
• Experience with autoscaling.
• Experience with SOC2 or similar audits and automated security scans.
• Proven ability in building and managing CI/CD pipelines.

Preferred Qualifications:

• Experience with GCP Functions or AWS Lambda
• Experience with ML / Data Pipelines

Interested? Please send your cover letter, resume, and LinkedIn profile to careers@ikasi.ai. Please include why you want to join our team.

Company Overview:

Ikasi.ai is an innovative technology company specializing in artificial intelligence solutions. We are committed to building advanced AI technologies to solve real-world problems, streamline processes, and enhance the user experience in various industries.

Job Summary:

As a Senior AI Researcher at IKASI, you’ll be an integral part of our data science team. You will work alongside advanced AI pioneers to transform how individualized personalization and recommendations are done within large-scale Enterprises.

Role Overview:

• Research & Development:
• Lead advanced research projects in artificial intelligence and machine learning.
• Stay abreast of the latest AI trends, methodologies, and technologies and assess their applicability to our business needs.
• Develop new algorithms and models, enhancing our capabilities in areas such as predictive analytics, Causal Inference and Recommendation systems.
• Project Leadership:
• Guide a team of AI researchers and data scientists, fostering an environment of innovation and excellence.
• Plan and oversee the execution of research projects, ensuring they meet quality standards and deadlines.
• Collaboration & Integration:
• Collaborate with cross-functional teams, including engineering, product development, and data science, to integrate AI solutions into our products and services.
• Liaise with stakeholders to identify new opportunities for AI applications and contribute to strategic planning.
• Publication & Dissemination:
• Publish findings in top-tier journals and conferences.
• Represent the company at industry events, conferences, and forums, showcasing our AI capabilities and achievements.
• Mentorship & Training:
• Mentor junior researchers and data scientists, guiding their professional development.
• Lead internal workshops and training sessions on AI and machine learning techniques.

Minimum Qualifications:

• 5+ years of research experience.
• Deep expertise in machine learning, deep learning, and AI algorithms.
• Experience with recommendation systems.
• Demonstrated ability to conduct machine learning research studies to analyze data and identify opportunities.
• Strong programming skills, proficient in ML languages (Python, SQL, Java, and data science libraries: TensorFlow, PyTorch, OpenCV).
• Excellent written and oral communication skills, with the ability to articulate complex technical issues to various audiences.
• Excellent Interpersonal communication and organizational skills.
• M.S. in a STEM field. 

Preferred Qualifications:

• Contributions to research communities like Github.
• Experience mentoring or managing junior scientists or engineers. 
• Strong publication record in AI or related fields.

Benefits:

• Competitive salary and equity options.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and remote work options.
• Professional development opportunities.
• A dynamic and supportive work environment.

Interested? Please send your cover letter, resume, and LinkedIn profile to careers@ikasi.ai. Please include why you want to join our team.

Company Overview:

Ikasi.ai is an innovative technology company specializing in artificial intelligence solutions. We are committed to building advanced AI technologies to solve real-world problems, streamline processes, and enhance the user experience in various industries.

Job Summary:

As a Data Scientist, you’ll be integral in extracting valuable insights from large amounts of raw data, finding patterns, and extracting valuable business insights, and will:

Role Overview:

• Algorithm Development:
• Design and implement advanced data models and algorithms.
• Perform statistical analysis and predictive modeling to support various business needs.
• Continuously improve existing models based on evolving data sets and business requirements.
• Data Analysis & Insights:
• Conduct comprehensive data analysis to extract actionable insights.
• Develop and maintain dashboards and reports for internal teams, especially for sales and operations.
• Collaboration & Support:
• Effectively communicate complex data concepts and insights to non-technical stakeholders.
• Collaborate with different teams (Sales, Engineering, Operations) to integrate data science into business processes.
• Use data insights to drive sales strategies.
• Analyze customer data to inform sales and marketing strategies.
• Leverage data insights in client pitches and presentations.
• Educate the sales team on leveraging data tools and insights.
• Operational Support:
• Work closely with the Data Operations team to ensure the smooth deployment of models.
• Provide existing client support in the execution of campaigns and ad-hoc enhancements.
• Monitor the performance of data science applications in production, making adjustments as necessary.

Minimum Qualifications:

• Experience as a data scientist or data analyst
• 2+ years with Data mining 
• A clear understanding of machine learning and operations research 
• Exceptional technical writing skills
• The ability to communicate complex data in a simple, actionable way
• Excellent attention to detail

Preferred Qualifications:

• Proficiency in data science languages such as Python or R.
• Experience with SQL and database management.
• Familiarity with machine learning frameworks and statistical analysis methods.
• Experience in developing and deploying machine learning models.

Benefits:

• Competitive salary and equity options.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and remote work options.
• Professional development opportunities.
• A dynamic and supportive work environment.

Interested? Please send your cover letter, resume, and LinkedIn profile to careers@ikasi.ai. Please include why you want to join our team.